Universidade Salgado de Oliveira (Brazil).
Span J Psychol. 2019 May 7;22:E23. doi: 10.1017/sjp.2019.23.
The current populational aging context requires that society reflect on the variables related with well-being and discuss ways of how to ensure them. The Conservation of Resources Theory (Hobfoll, 1989, 2002) posits that individuals who possess more material or social resources are more capable of resolving conflicts and dealing with stressful situations, thus maintaining good levels of well-being. However, there is a lack of instruments aimed at measuring the necessary resources for retirement well-being. The objective of this study was to translate and analyse the psychometric qualities of the Retirement Resources Inventory (RRI) (Leung & Earl, 2012) as applied to 1002 Brazilian retirees. Exploratory and confirmatory factor analysis were undertaken using two independent subsamples consisting of 401 and 601 retirees respectively. Two viable models arose from the exploratory analysis: A five-factor model, χ2(gl) = 816.644 (271); CFI = 0.88; GFI = 0.98; RMSEA = 0.07; R2 = 0.55; and a six-factor model, χ2(gl) = 1028.291 (400); CFI = 0.88; GFI = 0.98; RMSEA = 0.03; R2= 0.53, with good fit indices, but similar to each other. Confirmatory analysis pointed towards an instrument consisting of 29 items and five factors with good fit indices, χ2(gl) = 1,274(364); CFI = 0.87; TLI: 0.86; RMSEA: 0.06, corroborating the model proposed by Wang and Shultz (2010). The analyses also highlighted the need for actions that take into account the gender, age and region of the country where the retiree lives. Future cross-cultural studies are recommended seeing that retirement planning is an emerging issue that affects the world as a whole.
当前人口老龄化的背景要求社会反思与幸福感相关的变量,并讨论如何确保这些变量。资源保存理论(Hobfoll,1989,2002)认为,拥有更多物质或社会资源的个体更有能力解决冲突和应对压力情境,从而维持良好的幸福感水平。然而,目前缺乏衡量退休幸福感所需资源的工具。本研究旨在翻译和分析退休资源清单(RRI)(Leung & Earl,2012)的心理测量学质量,并将其应用于 1002 名巴西退休人员。使用两个独立的子样本(分别由 401 和 601 名退休人员组成)进行探索性和验证性因素分析。探索性分析产生了两个可行的模型:一个五因素模型,χ2(gl) = 816.644 (271);CFI = 0.88;GFI = 0.98;RMSEA = 0.07;R2 = 0.55;和一个六因素模型,χ2(gl) = 1028.291 (400);CFI = 0.88;GFI = 0.98;RMSEA = 0.03;R2= 0.53,拟合指数良好,但彼此相似。验证性分析表明,该工具由 29 个项目和五个因素组成,拟合指数良好,χ2(gl) = 1.274(364);CFI = 0.87;TLI:0.86;RMSEA:0.06,证实了 Wang 和 Shultz(2010)提出的模型。分析还强调需要采取行动,考虑到退休人员的性别、年龄和所在地区。建议进行未来的跨文化研究,因为退休规划是一个影响整个世界的新兴问题。